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https://www.nature.com/articles/s41598-023-46952-w *Authors* - Sonny Rosenthal <https://www.nature.com/articles/s41598-023-46952-w#auth-Sonny-Rosenthal-Aff1> , - Peter J. Irvine <https://www.nature.com/articles/s41598-023-46952-w#auth-Peter_J_-Irvine-Aff2> , - Christopher L. Cummings <https://www.nature.com/articles/s41598-023-46952-w#auth-Christopher_L_-Cummings-Aff3> & - Shirley S. Ho <https://www.nature.com/articles/s41598-023-46952-w#auth-Shirley_S_-Ho-Aff1> *14 November 2023* *Citations*: Rosenthal, S., Irvine, P.J., Cummings, C.L. *et al.* Exposure to climate change information predicts public support for solar geoengineering in Singapore and the United States. *Sci Rep* 13, 19874 (2023). https://doi.org/10.1038/s41598-023-46952-w Abstract Solar geoengineering is a controversial climate policy measure that could lower global temperature by increasing the amount of light reflected by the Earth. As scientists and policymakers increasingly consider this idea, an understanding of the level and drivers of public support for its research and potential deployment will be key. This study focuses on the role of climate change information in public support for research and deployment of stratospheric aerosol injection (SAI) in Singapore (*n* = 503) and the United States (*n* = 505). Findings were consistent with the idea that exposure to information underlies support for research and deployment. That finding was stronger in the United States, where climate change is a more contentious issue, than in Singapore. Cost concern was negatively related to support for funding and perceived risk was negatively related to support for deployment. Perceived government efficacy was a more positive predictor of support for funding in Singapore than in the United States. Additionally, relatively low support for local deployment was consistent with a NIMBY mindset. This was the first study to quantify the role of climate change information in SAI policy support, which has practical implications for using the media and interpersonal channels to communicate about SAI policy measures. [image: figure 1] <https://www.nature.com/articles/s41598-023-46952-w/figures/1> Mediation model of support for SAI. Corresponding with our statistical model (see Methods), the solid rectangle reflects an observed variable and ovals represent latent variables. *Source: Nature* -- You received this message because you are subscribed to the Google Groups "geoengineering" group. To unsubscribe from this group and stop receiving emails from it, send an email to geoengineering+unsubscr...@googlegroups.com. To view this discussion on the web visit https://groups.google.com/d/msgid/geoengineering/CAHJsh9-qKmm722OBA1Sk63HT2kUJyy-H-db%3DFHX_Kr%3DQbo4L2Q%40mail.gmail.com.
